Portrait of Mokhtar Z. Alaya

Mokhtar Z. Alaya

Maître de Conférences

LMAC – UTC

Students

Postdoc

  • 2026–

    Romain Mussard

    • LITIS, Univ. Rouen
    • co-supervision with Maxime Bérar and Gilles Gasso
    • title: Domain Adaptation for Anomaly Detection on Heterogeneous Logs-based Data

PhD

  • 2025–

    Yehya Cheryala

    • UTC
    • co-supervision with Salim Bouzebda
    • title: Multimarginal Optimal Transport
  • 2024–

    Samy Vilhes

    • LITIS, INSA Rouen
    • co-supervision with Gilles Gasso
    • title: Robust Deep Learning Anomaly Detection Applied to Intrusion Detection for Electric Vehicle Charging Points
  • 2023–

    Noura Omar

    • UTC
    • co-supervision with Salim Bouzebda
    • title: Fréchet Regression for Non-Euclidean Data
  • 2023

    Yingjie Wang

    Visiting PhD Student

    • School of Mathematics, Nanjing University of Aeronautics and Astronautics, China
    • co-supervision with Salim Bouzebda
    • title: Sparsified Learning for Heavy-Tailed Locally Stationary Time Series

Alumni

  • 2022–2025

    Jan N. Tinio

    • UTC
    • co-supervision with Salim Bouzebda
    • title: Learning Local Stationary Processes through Wasserstein Distance
    • Now Assistant Professor at Caraga State University, Philippines

Master 2

  • 2025

    Thierry Noehser

    • ESCOM, UTC
    • co-supervision with Claire Ceballos (ESCOM) and Salim Bouzebda
    • title: Artificial Intelligence-Assisted Organic Synthesis for Green Chemistry
  • 2023

    Yihua Gao

    • Sorbonne Université, Campus Sciences & Ingénierie
    • title: Graph Neural Network with Optimal Transport

Engineers (3-month internship)

  • 2025

    Diffusion Models for Medical Anomaly Detection

    Enzo Ephrem, Mouad Lemhadre, Zakaria Sriti, UTC

  • 2025

    DeepSportMatch: Deep Recommendation System for Matching Sport Profiles

    Dartois Evan, Cyprien Chenain, UTC

  • 2025

    Diffusion Models for Anomaly Detection in Time Series

    Nermine Sboui, Mohamed H. Benboubker, UTC

  • 2025

    Paris Metro Traffic: Analysis, Prediction and Statistics

    Alexandre Bidaux, Clement Martins, UTC

  • 2023

    Domain Adaptation in Deep Learning

    Imene Banyagoub, Massil Bouzar, Saad Lakramti, UTC

  • 2023

    IOS Application of Dog Race Classification through Deep Learning and Swift

    Damien Dieudonné, Eloise Moreira, UTC

  • 2023

    Medical Image Segmentation with Deep Learning

    Anne-Soline Guilbert-Ly, Jinghao Yang, Malena Zaragoza-Meran, UTC